Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning-Reference-Cited by-同舟云学术

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Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning

Published:2024-05-05 Issue: Volume:33 Page:195-200
ISSN:
Container-title:2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
language:
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Author:

Badi Mohamed¹,Issaid Chaouki Ben¹,Elgabli Anis²,Bennis Mehdi¹

Affiliation:

1. University of Oulu,Centre of Wireless Communications (CWC),Finland

2. KFUPM,Interdisciplinary Research Center for Communication Systems and Sensing (IRC-CSS),Industrial and System Engineering Department,Dhahran

Funder

European Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624683/10624689/10624815.pdf?arnumber=10624815

Reference11 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

2. Agnostic federated learning;Mohri

3. Distributionally robust federated averaging;Deng;Advances in neural information processing systems,2020

4. Communication-efficient distributionally robust decentralized learning;Zecchin;Transactions on Machine Learning Research,2022

5. DR-DSGD: a distributionally robust decentralized learning algorithm over graphs;Issaid;Transactions on Machine Learning Research,2022

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